A Model of Detecting Phishing Websites Based on PHA and Web Noise

DOI

10.2991/msmee-17.2017.211How to use a DOI?

Keywords

Phishing Detection, PHA, Web Noise, N-Gram.

Abstract

With the growing development of the Internet, phishing sites have caused more and more serious harm to people. Perhaps even worse, resulting in irretrievable economic losses to users. Based on the existing research, we propose a model of combining PHA and page noise to solve these problems. We use PHA to compare the similarity of those web pages' images. If we can't determine whether the site is a phishing site according to the similarity, we would extract the page noise and use n-gram to represent the site in the form of model features. After that, we compare the features of the site with the corresponding features of web pages in the corpus to determine whether it is a phishing site. Through the comparison of the experiment results with other researchers' work, we figure out that our model is simpler and more effective in the detection efficiency and other aspects.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Jing-shi Cui
AU  - Zi-jian Wang
AU  - Bai-ling Wang
AU  - Wei Wang
AU  - Guo-dong Xin
PY  - 2017/05
DA  - 2017/05
TI  - A Model of Detecting Phishing Websites Based on PHA and Web Noise
BT  - Proceedings of the 2017 2nd International Conference on Materials Science, Machinery and Energy Engineering (MSMEE 2017)
PB  - Atlantis Press
SP  - 1084
EP  - 1090
SN  - 2352-5401
UR  - https://doi.org/10.2991/msmee-17.2017.211
DO  - 10.2991/msmee-17.2017.211
ID  - Cui2017/05
ER  -